Published: 2024-07-10
Path Analysis Tingkat Pengangguran Terbuka dan Kemiskinan di Kabupaten Langkat
DOI: 10.35870/emt.v8i3.2689
Muhammad Arfan Harahap, Sri Wahyuni Hasibuan
- Muhammad Arfan Harahap: Affiliation name not available , STAI Jam’iyah Mahmudiyah , Indonesia
- Sri Wahyuni Hasibuan: Affiliation name not available , STAI Jam’iyah Mahmudiyah , Indonesia
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Abstract
Unemployment and poverty remain persistent issues that governments, especially regional administrations, continuously strive to address. The analysis of unemployment and poverty varies across regions due to different datasets. This study reveals the latest data related to research variables in Langkat Regency. Path analysis was employed to accurately measure the influence of variables through intervening variables with dynamic macroeconomic data. The regression model in sub-structural 1 indicates a direct influence of economic growth and inflation on unemployment, showing a combined effect of 65%. Furthermore, the sub-structural regression model 2 reveals a direct influence of unemployment on poverty, while economic growth and inflation do not directly affect poverty. However, collectively, economic growth, inflation, and unemployment show an influence of 85%. Other findings using path analysis demonstrate an indirect influence of economic growth and inflation on poverty through unemployment. These results enrich the literature on unemployment and poverty and provide new data for similar studies across various regions in Indonesia. These findings are expected to contribute to the literature on policy-making related to unemployment reduction and poverty alleviation in the macroeconomic context of Langkat Regency.
Keywords
Poverty ; Unemployment ; Inflation ; Economic Growth
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Article Information
This article has been peer-reviewed and published in the Jurnal EMT KITA. The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 8 No. 3 (2024)
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Section: Articles
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Published: %750 %e, %2024
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License: CC BY 4.0
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Copyright: © 2024 Authors
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DOI: 10.35870/emt.v8i3.2689
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Aidila Syafitri, Yusrizal Yusrizal, & Khairina Tambunan. (2023). Analisis Determinan Tingkat Pengangguran di Kab Langkat. Journal of Islamic Economics and Finance, 1(3), 108–124. https://doi.org/10.59841/jureksi.v1i3.483
-
Brady, D. (2019). Theories of the Causes of Poverty. Annual Review of Sociology, 45, 155–175. https://doi.org/10.1146/annurev-soc-073018-022550
-
Cahyani, A., & Sitorus, A. (2024). The Effect of Inflation, Government Expenditure, Population, and Wages on Poverty in Sumatra Island 2017-2021. EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi Dan Bisnis, 12(1), 213–220. https://doi.org/10.37676/ekombis.v12i1.4990
-
Chammearc, H. B., & Ratnasih, C. (2023). Effects of Education and Health and Unemployment against Poverty in Bangka Belitung Islands. Jurnal Indonesia Sosial Sains, 4(08), 679–685. https://doi.org/10.59141/jiss.v4i08.859
-
Evita, M. J., & Primandhana, W. P. (2022). Analisis Pengaruh Pertumbuhan Ekonomi, Indeks Pembangunan Manusia Dan Belanja Pemerintah Terhadap kemiskinan Di Kabupaten Blora. EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi Dan Bisnis, 10(S1), 79–88. https://doi.org/10.37676/ekombis.v10is1.1998
-
Faharuddin, F., & Endrawati, D. (2022). Determinants of working poverty in Indonesia. Journal of Economics and Development, 24(3), 230–246. https://doi.org/10.1108/jed-09-2021-0151
-
Faradiba Kasiha, R. (2023). Analisis Faktor-Faktor yang Mempengaruhi Kemiskinan dari Dimensi Kultural di Kecamatan Stabat Kabupaten Langkat. Lwsa, 06, 5. https://doi.org/10.32734/lwsa.v6i1.1699
-
Gomes, D. B. P., Iachan, F. S., & Santos, C. (2020). Labor earnings dynamics in a developing economy with a large informal sector. Journal of Economic Dynamics and Control, 113, 1–30. https://doi.org/10.1016/j.jedc.2020.103854
-
Gusti Pratiwi, Safuridar Safuridar, & Martahadi Martahadi. (2022). Pengaruh Belanja Bantuan Sosial dan Pertumbuhan Ekonomi Terhadap Tingkat Kemiskinan di Kabupaten Langkat. Akuntansi, 1(4), 240–247. https://doi.org/10.55606/jurnalrisetilmuakuntansi.v1i4.126
-
ILO. (2019). The Working Poor or How a Job is No Guarantee of Decent Living Conditions. April, 1–11. https://www.ilo.org/wcmsp5/groups/public/---dgreports/---stat/documents/publication/wcms_696387.pdf
-
Mariana Naibaho, U. N. (2021). Pengaruh produk domestik regional bruto (pdrb) dan tingkat pengangguran terbuka terhadap indeks pembangunan manusia di kabupaten langkat. Jurnal Gamma-Pi, 2(1), 21–26. https://doi.org/https://doi.org/10.33059/jgp.v3i2.3684
-
Naomi, F., Kawung, G. M. V, & Rorong, I. P. F. (2022). Pengaruh Inflasi dan Pengangguran Terhadap Kemiskinan di Kota Manado Periode 2007 - 2020. Jurnal Berkala Ilmiah Efisiensi, 22(6), 97–108. https://ejournal.unsrat.ac.id/index.php/jbie/article/view/42974
-
Nurrahman, H. H. (2024). Identification of the impact of tourism object management in reducing the level of unemployment in langkat district communities. COSTING:Journal of Economic, Business and Accounting, 7(2), 3452–3464. https://doi.org/https://doi.org/10.31539/costing.v7i2.8987
-
Oktaviana Deby, W. P. P. dan M. W. (2021). Analisis pengaruh pertumbuhan ekonomi, upah minimum kabupaten, dan pengangguran, terhadap kemiskinan di Kabupaten Madiun. Syntax Idea, 3(2), 6. https://doi.org/https://doi.org/10.36418/syntax-idea.v3i5.1183
-
Pasaribu, S. H., Universitas, S. H. P., Nusantara, N. B., Papua, P., & Daya, B. (2024). Pengaruh Pengangguran Terhadap Kemiskinan di Kabupaten Sorong. Jurnal Serambi Ekonomi Dan Bisnis, 7(1), 18–23. https://doi.org/https://doi.org/10.32672/jseb.v7i1.7279
-
Prasetya, G. M., & Sumanto, A. (2022). Pengaruh Tingkat Pengangguran dan Tenaga Kerja terhadap Kemiskinan melalui Pertumbuhan Ekonomi. Kinerja, 19(2), 467–477. https://doi.org/10.30872/jkin.v19i2.10956
-
Putri, O. H. (2022). Produk Domestik Regional Bruto Dan Jumlah Pengangguran Terhadap Garis Kemiskinan Di Kabupaten Muaro Jambi. Yudishtira Journal : Indonesian Journal of Finance and Strategy Inside, 2(3), 338–348. https://doi.org/10.53363/yud.v2i3.45
-
Rahman, M. R., Rahman, M. M., & Akter, R. (2023). Renewable energy development, unemployment and GDP growth: South Asian evidence. Arab Gulf Journal of Scientific Research. https://doi.org/10.1108/AGJSR-04-2023-0152
-
Ruhiat, D., Hafsah, S., Aulia, H. N., Marlina, E., Studi, P., Fmipa, M., & Bandung, U. B. (2022). Analisis Faktor-Faktor Yang Mempengaruhi Pola Hidup Keluarga Buruh Menggunakan Path Analysis (Studi Kasus: Kecamatan Majalaya). Jurnal Riset Matematika Dan Sains Terapan, 2(1), 11–20. https://ejournal.unibba.ac.id/index.php/jrmst/article/view/900
-
Sembiring, C., Masinambow, V. A. J., & Tumangkeng, S. Y. L. (2023). Pengaruh Jumlah Penduduk, Tingkat Pendidikan Dan Tingkat Pengangguran Terhadap Kemiskinan Di Kota-Kota Provinsi Jawa Barat. Jurnal Berkala Ilmiah Efisiensi, 23(2), 25–36. https://ejournal.unsrat.ac.id/index.php/jbie/article/view/45324
-
Streiner, D. L. (2005). Finding Our Way : An Introduction to Path Analysis. The Canadian Journal of Psychiatry, 50(2). https://doi.org/https://doi.org/10.1177/070674370505000207
-

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